Artificial intelligence (AI) as a simulation approach is increasingly being used in precision
agriculture. The current study evaluated the performance of five methods for estimating …

The determination of leaf area is fundamental for studies related to plant growth and
physiology. Thus, non-destructive methods allow an accurate estimate of the leaf area …

Plant leaf area (LA) is a key metric in plant monitoring programs. Machine learning methods
were used in this study to estimate the LA of four plum genotypes, including three …

HIGHLIGHTS: Chrysanthemum leaf area can be estimated using a non-destructive method
based on allometric equations. Models that use leaf length (L) and leaf width (W) are the …

Leaf area is one of the important parameters for plant canopy development. It is used as an
indicator closely related to plant growth in several studies on plant production. However …

The evaluation of the leaf surface of hemp leaves, Cannabis sativa L., was the subject of the
present study. The biological material was represented by the hemp variety'Silvana' …

Forecasting the parameters of the food market is a difficult task due to the volatility of
demand, which depends on many factors. In this study, the authors attempted to implement a …

Olive (Olea europaea L.) is a historic and significant Mediterranean tre e that has been
widely used for its curative properties and oily nature. I mages of 150 randomly selected …

Background: The efficient and accurate calculation of working chamber volume can greatly
contribute to the optimized design efficiency of the combined profile scroll compressor, but …

Agriculture plays a crucial role in human survival, necessitating the development of efficient
methods for food production. This chapter reviews Digital Image Processing (DPI) methods …